摘要
后向台阶流是工程领域中一类常见的流动现象,也是流体力学中复杂剪切流动的一个典型例子。针对自由表面对后向台阶流场的影响,在总结前人研究成果的基础上,本文利用VOF方法追踪自由表面,采用realizable k-ε紊流模型封闭控制方程,建立立面二维数值模型,对带自由表面后向台阶流进行了模拟研究。模拟得到4种特征雷诺数工况下,台阶后纵向流速、紊动能、耗散率、边界压力值和水面流速的沿程分布。模拟结果与原型实验观测结果吻合较好。根据模拟结果,对台阶后流场随特征雷诺数变化的规律以及自由水面对台阶后流场分布、漩涡结构和压力值的影响进行了分析讨论。
The backward-facing step flow is widely encountered in engineering fields,and is also a representative example of complex shear flows.Aiming at the influence from free surface on the backward-facing step flow field,a vertica l2-D numerical model is established herein for making a simulative study on the backward-facing step flow with free surface through tracking free surface with VOF method and closing the governing equations with the k-εturbulence model on the basis of the results of the predecessor’s researches.From the simulation,the streamwise distributions of the longitudinal flow velocities,turbulent kinetic energies,dissipation rates,boundary pressure values and surface flow velocities behind the step under the conditions of four characteristic Reynolds numbers are obtained.The simulation results are better coincided with the observed data from the relevant prototype experiments.In accordance with the simulation results,the law of the change of the backward-facing step flow field along with characteristic Reynolds number as well as the influence from free-water surface on the distribution of the backward-facing step flow field,eddy structure and pressure value are analyzed and discussed as well.
作者
曾诚
周舟
周婕
王玲玲
ZENG Cheng;ZHOU Zhou;ZHOU Jie;WANG Lingling(College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,Jiangsu,China;College of Mechanics and Materials,Hohai University,Nanjing 210098,Jiangsu,China)
出处
《水利水电技术》
CSCD
北大核心
2018年第11期109-115,共7页
Water Resources and Hydropower Engineering
基金
国家重点研发计划(2016YFC0401503)
中央高校基本科研业务费专项资金资助(2016B05114)
高等学校学科创新引智计划(B17015)
国家自然科学基金(51479058)
关键词
后向台阶流
自由表面
数值模拟
VOF方法
流场分布
backward-facing step flow
free surface
numerical simulation
VOF method
flow field distribution